Modern enterprises increasingly rely on each other by managing risks [2] and depend on globalization. The modern management approach is moving toward a collaborative age of risk, such as ERP/SCM (Enterprise Resource Planning/Supply Chain Management), which is applied to handle heterogeneity.


Cash Flow Service Process Market Risk Bullwhip Effect Service Enterprise 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Beamon, B.M., Supply Chain Design and Analysis: Models and Methods, International Journal of Production Economics, 55, 281–294, 1998CrossRefGoogle Scholar
  2. 2.
    Bernstein, P.L., Against the Gods – The Remarkable Story of Risks, Wiley, NY, 1996Google Scholar
  3. 3.
    Eliashberg, J. and Steinberg, R., Marketing-Production Joint Decision-Marketing, In: J. Eliashberg and G.L. Lilien (eds.), Handbooks in Operations Research and Management Science, Vol. 5 (Marketing), North-Holland, Amsterdam, pp. 827–880, 1993Google Scholar
  4. 4.
    Forrester, J.W., Industrial Dynamics, MIT Press, MA, 1961Google Scholar
  5. 5.
    Goldratt, E.M., The Goal – A Process of Ongoing Improvement, North River Press, MA, 1984Google Scholar
  6. 6.
    Minner, S., Strategic Safety Stocks in Supply Chains, Springer, Berlin, 2000Google Scholar
  7. 7.
    Nof, S.Y. (ed.), Information and Collaboration Models of Integration, Kluwer, Netherlands, 1994Google Scholar
  8. 8.
    Ross, S.M., Applied Probability Models with Optimization Applications, Holden-Day, San Francisco, 1970Google Scholar
  9. 9.
    Sahin, F. and Robinson, E.P., Flow Coordination and Information Sharing in Supply Chains: Review, Implications and Directions for Future Research, Decision Sciences, 33(4),505–536, 2002CrossRefGoogle Scholar
  10. 10.
    Shapiro, J.F., Modeling the Supply Chain, Duxbury, Australia, 2001Google Scholar
  11. 11.
    Simon, H.A., The Sciences of the Artificial, MIT Press, MA, 1969Google Scholar
  12. 12.
    Tayur, S., Ganeshhan, R. and Magazine, M. (eds.), Quantitative Models for Supply Chain Management, Kluwer, Boston, 1999Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Masayuki Matsui
    • 1
  1. 1.The University of Electro-CommunicationsTokyoJapan

Personalised recommendations